The Complex Systems and Strategic Studies Division focuses on analyzing and modeling complex systems to provide strategic insights that aid decision-making. This division uses micro-macro modeling, social science, and systems theory to understand how interconnected components influence large-scale outcomes, supporting policy development and strategic planning across sectors.

• Micro-Macro Modeling: Examining the relationship between individual actions and overall system behaviors in areas like economics, ecology, and social science.
• Social and Organizational Dynamics: Investigating the factors that shape organizational behavior, decision-making, and social interactions within complex environments.
• System Resilience and Adaptability: Studying how complex systems can withstand and adapt to shocks, supporting sustainability in fields like energy and ecology.
• Predictive Analytics and Scenario Planning: Developing simulations and models to predict trends and inform strategic decisions under uncertainty.

• Organizational Behavior Modeling: Understanding how organizational structures influence behavior and performance within complex systems.
• Agent-Based Modeling for Social Sciences: Using agent-based models to simulate adaptive systems in fields like economics, ecology, and social science.
• System Shock Resilience: Investigating how complex systems adapt to and recover from disruptions, guiding resilience strategies.
• Strategic Decision-Making Frameworks: Developing frameworks that enhance strategic decisions in dynamic and uncertain environments.
• Application of Complex Systems to Multidisciplinary Challenges: Leveraging insights from complex systems to address issues in energy, robotics, and digital twin technologies.